Improving the visual analysis of high-dimensional datasets using quality measures

VAST 10 - IEEE Conference on Visual Analytics Science and Technology 2010, Proceedings

Volumn , Issue , 2010, Pages 19-26

  Albuquerque, Georgia ^a   Eisemann, Martin ^a   Lehmann, Dirk J ^b   Theisel, Holger ^b   Magnor, Marcus ^a  

^a TECHNICAL UNIVERSITY OF BRAUNSCHWEIG   (Germany)

^b OTTO VON GUERICKE UNIVERSITY   (Germany)

Author keywords

H.3.3 information storage and retrieval : information search and retrieval ; I.3.3 computer graphics : Picture image generation

Indexed keywords

ANALYTICAL TECHNIQUES; AUTOMATIC SORTING; DATA SETS; HIGH DIMENSIONAL DATA; HIGH-DIMENSIONAL; I.3.3 [COMPUTER GRAPHICS]; INFORMATION CONTENTS; INFORMATION SEARCH AND RETRIEVAL; NEW APPROACHES; PARALLEL COORDINATES; PIXEL-ORIENTED; QUALITY MEASURES; REDUCTION TECHNIQUES; SCATTER PLOTS; STRUCTURAL DIFFERENCES; VISUAL ANALYSIS; VISUALIZATION METHOD; VISUALIZATION TECHNIQUE;

GRAPHICAL USER INTERFACES; INFORMATION RETRIEVAL; VISUALIZATION;

DATA VISUALIZATION;

EID: 78650957406     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/VAST.2010.5652433     Document Type: Conference Paper

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